Underinvesting in software testing costs more than you think, and now you can prove it. This guide helps you quantify hidden costs like developer time, support overhead, tech debt, and lost revenue. Use the companion calculator to model your own data, and present your findings with a ready-to-edit presentation template. Whether you're making the case to leadership or validating outsourcing, this toolkit gives you the numbers and tools you need.

Implementing AI in software testing can accelerate release cycles, boost efficiency, and enhance software quality—but only with a clear strategy. This guide offers a step-by-step roadmap to help you evaluate readiness, strengthen infrastructure, upskill teams, and meet compliance needs. Discover how to automate up to 70% of testing tasks, enhance defect detection, and integrate AI into your CI/CD workflows without disrupting your SDLC.

When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.

Codebases evolve rapidly, and your test automation should keep pace. However, many teams struggle with brittle scripts and growing test debt, which hinder delivery and increase risk. This guide illustrates how engineering leaders leverage AI to enhance the resilience and scalability of testing. You will discover how AI can automatically generate and maintain test cases, adapt to changing applications, and identify high-risk areas before problems reach production.

Product managers have long relied on the Minimum Viable Product (MVP), but in the age of AI, a minimum AI-Ready Product (MAP) – an evolution of the MVP that ensures a product is not just functional but ready to leverage AI from day one has become crucial

Technical Product Manager at GPC Global Technology Center in Krakow. She has extensive experience in the area of Product Delivery and close cooperation with development teams. In her work, she tries to implement the scrum approach.

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AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Stand out in your product management interview with guidance from Priyanka Upadhyay, an experienced product leader and Stanford Online program coach. In this guide, Upadhay dives into five key competencies interviewers will likely want to assess. She provides sample questions with detailed answers spanning: Product strategy Product design Execution Market estimation Teamwork Confidently land the product management role you want by pre-empting what interviewers are looking for and demonstrating y

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In today’s ultra-competitive markets, it’s no longer enough to wait for buyers to show obvious signs of interest. Instead, sales teams must be proactive, identifying and acting on nuanced buyer behaviors — often before prospects are fully ready to make a purchase. In this eBook from ZoomInfo & Sell Better, learn 10 actionable ways to use these buyer signals to transform your sales strategy and close deals faster.

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Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

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In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.

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Modern go-to-market teams know it takes more than one email to break through the noise. Multiple touchpoints means more ways to get your pitch right — and, potentially, more ways to be wrong. The good news? Once you know how to write compelling, one-off emails to entice prospective customers, you can easily do the same across a short sequence of emails.

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Account-based marketing (ABM) is a key strategy for driving sustainable growth. Today, many B2B companies use ABM teams or technologies to make sales. But getting a program off the ground successfully doesn’t have to be a daunting task. Watch this webinar with Rachael Foster, Director of Account-Based Experience at ZoomInfo, and Dan Dolph, Manager of Account-Based Experience at ZoomInfo.

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How will generative AI transform sales? It’s a question that promises to drive billions of dollars in revenue opportunities over the next five to 10 years. And if you’re not leveraging AI solutions in your go-to-market motions, you’re already behind. In this eBook, we’ll cover: How today’s top sales leaders are incorporating AI into their go-to-market motions.